Original research · 2026-07 edition

AI SEO Statistics: Drywall Businesses (2026-07 edition)

40 questions · 120 AI responses · 3 models · measured 2026-07-06

See how AI talks about YOUR businessFull data table

The question bank

The questions we tested — sampled from real buyer journeys in drywall businesses.

Each model answered every question once, same wording, same day. These are the prompts behind every percentage on this page.

Why are there vertical cracks appearing above my door frames and are they easy to fix?
Is it cheaper to patch a large hole or replace the whole sheet of drywall?
How much does a drywall contractor usually charge to finish a 1,000 sq ft basement?
What is the difference between a Level 4 and Level 5 drywall finish and which do I need for a nursery?
Can I hire a pro just to do the taping and mudding if I hang the boards myself?
How do I know if a ceiling stain is just a leak or if the whole piece of drywall is rotting?
What are the signs that a professional drywall repair job was done poorly?
How long should I wait for drywall mud to dry before I can start painting the room?
Show all 40 questions
Is it worth it to pay extra for mold-resistant drywall in a guest bathroom remodel?
How much does it cost to remove popcorn texture and skim coat the ceiling in a bedroom?
What should I do if my drywall contractor didn't use a vacuum sander and there is dust everywhere?
Are there specific drywallers who specialize in matching old swirl or knockdown textures?
My cat scratched deep grooves into the corner bead, can that be patched or does the metal need replacing?
What is the average daily rate for a professional drywall finisher in a major city?
Can you put new drywall directly over old plaster walls or should I tear it all out first?
How do I vet a drywall company to make sure they won't leave a mess in my finished house?
Should I be worried about a contractor using hot mud for a quick repair job?
What is the best way to fix a hole in the ceiling where a light fixture used to be?
Do drywall contractors usually include the cost of hauling away the scrap pieces in their quote?
How many coats of mud are standard for a high-end residential renovation project?
I have a 2-inch crack in my ceiling, is that a structural issue or just the house settling?
Is it possible to find a drywaller for a small job like fixing a hole from a doorknob?
What questions should I ask to see if a drywaller is actually experienced with curved walls?
How much extra should I expect to pay for fire-rated drywall in a garage conversion?
Why is my new drywall showing seams now that I have painted it with a semi-gloss finish?
Can a general handyman handle a whole room of drywall or should I stick with a specialist?
How much does it cost to repair water damage from a burst pipe in a kitchen wall?
What is the standard lead time for booking a reputable drywall crew right now?
Is it normal for a drywaller to ask for 50% of the project cost upfront?
How do I hide the transition between a new patch and an old textured wall effectively?
Does soundproof drywall actually work for a home office or is it a waste of money?
What thickness of drywall is required for a standard interior wall versus a ceiling?
Can I stay in my house while the drywall is being sanded or is the air quality too bad?
Why are the screws popping out of my drywall and how do I fix it permanently?
Is it better to use mesh tape or paper tape for a repair in a high-humidity area?
How do I get a quote for drywalling a garage if I do not know the exact square footage?
What are the red flags to look for when a drywaller gives a suspiciously low estimate?
How do I repair a large section of drywall that got soaked during a basement flood?
What is the cost difference between hanging 1/2 inch versus 5/8 inch drywall?
Do I need a permit to replace more than one sheet of drywall in a residential home?

Model by model

17-point average divergence: which AI you ask changes the answer.

The divergence index is the average gap between the most and least likely model per behavior. Higher = the models disagree more about drywall businesses buyers.

Behavior rates across 40 drywall businesses buyer questions, 2026-07 edition. Last column: average across models.
ChatGPTClaudeGeminiConsensus
Recommends hiring a professional63%48%23%53%
Suggests DIY first28%28%20%80%
Names specific providers3%3%3%100%
Gives price or cost info33%35%20%73%
Tells to check reviews15%8%0%83%
Tells to verify credentials13%5%3%90%
Mentions case studies / portfolio15%15%0%83%
Mentions local proximity28%25%8%70%
Gives selection criteria23%25%13%85%
Warns about red flags15%18%10%85%
Asks a clarifying question75%53%3%20%
Recommends multiple quotes18%20%0%68%

By model

How each assistant handled Drywall Businesses questions.

Reading the 120 answers model by model shows how differently the three assistants treat the same drywall businesses questions. On the most consequential behavior — whether to send the buyer to a professional at all — the rate ranged from 62.5% (ChatGPT) down to 22.5% (Gemini), a 40-point gap on an identical question set.

Across the 40 drywall businesses answers it produced, ChatGPT recommended hiring a professional in 62.5% of them and suggested a DIY approach first 27.5% of the time. It named a specific provider in 2.5% of answers (about 0.2 distinct providers per answer) and included price or cost information 32.5% of the time. ChatGPT asked a clarifying question before answering in 75% of cases, warned about red flags or scams in 15%, and told the buyer to verify credentials in 12.5%, averaging 469 words per answer. On the remaining cues it told the buyer to check reviews in 15%, pointed to case studies or a portfolio in 15%, and framed the choice around local proximity in 27.5%; a selection-criteria checklist appeared in 22.5% of its answers and a recommendation to gather multiple quotes in 17.5%.

Across the 40 drywall businesses answers it produced, Claude recommended hiring a professional in 47.5% of them and suggested a DIY approach first 27.5% of the time. It named a specific provider in 2.5% of answers (about 0 distinct providers per answer) and included price or cost information 35% of the time. Claude asked a clarifying question before answering in 52.5% of cases, warned about red flags or scams in 17.5%, and told the buyer to verify credentials in 5%, averaging 284 words per answer. On the remaining cues it told the buyer to check reviews in 7.5%, pointed to case studies or a portfolio in 15%, and framed the choice around local proximity in 25%; a selection-criteria checklist appeared in 25% of its answers and a recommendation to gather multiple quotes in 20%.

Across the 40 drywall businesses answers it produced, Gemini recommended hiring a professional in 22.5% of them and suggested a DIY approach first 20% of the time. It named a specific provider in 2.5% of answers (about 0.1 distinct providers per answer) and included price or cost information 20% of the time. Gemini asked a clarifying question before answering in 2.5% of cases, warned about red flags or scams in 10%, and told the buyer to verify credentials in 2.5%, averaging 274 words per answer. On the remaining cues it told the buyer to check reviews in 0%, pointed to case studies or a portfolio in 0%, and framed the choice around local proximity in 7.5%; a selection-criteria checklist appeared in 12.5% of its answers and a recommendation to gather multiple quotes in 0%.

Taken together, ChatGPT is the assistant most likely to route a drywall businesses buyer to a professional (62.5%) and Gemini the least (22.5%). ChatGPT produced the longest answers, at 469 words on average. Specific providers were named most often by ChatGPT (2.5%) — even there, roughly one answer in 40 carried a name.

Where they disagree

The behaviors where the choice of model changes the answer.

The divergence index for this study is 17.4 points — the average distance between the most and least likely model across the coded behaviors. The gaps below are where which assistant a drywall businesses buyer happens to ask matters most:

  • Asks a clarifying question: from 2.5% (Gemini) to 75% (ChatGPT) — a 73-point spread.
  • Recommends hiring a professional: from 22.5% (Gemini) to 62.5% (ChatGPT) — a 40-point spread.
  • Mentions local proximity: from 7.5% (Gemini) to 27.5% (ChatGPT) — a 20-point spread.
  • Recommends multiple quotes: from 0% (Gemini) to 20% (Claude) — a 20-point spread.
  • Gives price or cost information: from 20% (Gemini) to 35% (Claude) — a 15-point spread.

The widest single gap — asks a clarifying question, 73 points — means a drywall businesses buyer can receive materially different guidance on the same question depending only on which assistant they happen to open, so any visibility strategy built on a single model's behavior describes only part of the drywall businesses market.

Where they agree

The points of near-consensus in Drywall Businesses.

On other behaviors the three models move almost in lockstep — the points of near-consensus for drywall businesses, where all three landed within a few points of each other:

  • Names a specific provider: 2.5% across all three models.
  • Suggests a DIY approach first: 20%–27.5% across all three (a 8-point spread).
  • Warns about red flags or scams: 10%–17.5% across all three (a 8-point spread).
  • Tells the buyer to verify credentials: 2.5%–12.5% across all three (a 10-point spread).

Measured question by question, the three assistants coded a response the same way most consistently on "names a specific provider" (identical coding in 100% of questions) and least consistently on "asks a clarifying question" (20%).

Every behavior, measured

All twelve coded behaviors for Drywall Businesses, averaged across the three models.

The behaviors AI models reproduce most often for drywall businesses are recommends hiring a professional (44.2% on average), asks a clarifying question (43.3%) and gives price or cost information (29.2%); the rarest are names a specific provider (2.5%), tells the buyer to verify credentials (6.7%) and tells the buyer to check reviews (7.5%). Each figure below is the share of a model's 40 answers in which the behavior appeared at least once, averaged across the 3 models with the full per-model range in parentheses:

  • Recommends hiring a professional: 44.2% on average (ChatGPT 62.5%, Claude 47.5%, Gemini 22.5%) — a 40-point spread.
  • Asks a clarifying question: 43.3% on average (ChatGPT 75%, Claude 52.5%, Gemini 2.5%) — a 73-point spread.
  • Gives price or cost information: 29.2% on average (ChatGPT 32.5%, Claude 35%, Gemini 20%) — a 15-point spread.
  • Suggests a DIY approach first: 25% on average (ChatGPT 27.5%, Claude 27.5%, Gemini 20%) — a 8-point spread.
  • Mentions local proximity: 20% on average (ChatGPT 27.5%, Claude 25%, Gemini 7.5%) — a 20-point spread.
  • Gives selection criteria: 20% on average (ChatGPT 22.5%, Claude 25%, Gemini 12.5%) — a 13-point spread.
  • Warns about red flags or scams: 14.2% on average (ChatGPT 15%, Claude 17.5%, Gemini 10%) — a 8-point spread.
  • Recommends multiple quotes: 12.5% on average (ChatGPT 17.5%, Claude 20%, Gemini 0%) — a 20-point spread.
  • Mentions case studies or portfolio: 10% on average (ChatGPT 15%, Claude 15%, Gemini 0%) — a 15-point spread.
  • Tells the buyer to check reviews: 7.5% on average (ChatGPT 15%, Claude 7.5%, Gemini 0%) — a 15-point spread.
  • Tells the buyer to verify credentials: 6.7% on average (ChatGPT 12.5%, Claude 5%, Gemini 2.5%) — a 10-point spread.
  • Names a specific provider: 2.5% on average (ChatGPT 2.5%, Claude 2.5%, Gemini 2.5%).

Trust signals

How well the models protect the drywall businesses buyer.

Beyond whether to hire, the rubric codes how carefully each assistant protects the drywall businesses buyer once a decision is made. Telling the buyer to check reviews or ratings appeared in 7.5% of answers on average. Verifying credentials or certifications appeared in 6.7%. Warning about red flags or scams appeared in 14.2%.

On structuring the decision, a selection-criteria checklist showed up in 20% of answers on average and a recommendation to gather multiple quotes in 12.5%. The single least-reproduced protective signal for drywall businesses is "tells the buyer to verify credentials" at 6.7% on average — the clearest opening for content that supplies it, since the models are not yet reliably surfacing that guidance on their own.

Referral behavior

Do AI models name Drywall Businesses providers?

For service providers the decisive question is whether these systems name anyone at all. Across 120 drywall businesses answers, a specific provider was named in 2.5% of responses on average — roughly 0.1 distinct providers per answer. In practice the assistants behave far more as an explanatory layer than as a referral engine for drywall businesses: visibility comes from being the reasoning a model reproduces, not from being the named recommendation.

The question set

What these 40 Drywall Businesses questions cover.

The 40 questions behind every percentage on this page were drawn from real drywall businesses (home services; buyer hiring decisions for this specific service) buyer journeys. Each was put to all 3 models once, with identical wording, so the rates above describe how the assistants handled this exact drywall businesses question set — not a general prior or a hand-picked subset. The full list is shown earlier on this page; the coded percentages are what those specific questions produced.

How to read this

A note on the numbers.

A percentage here is the share of a model's 40 answers in which the behavior appeared at least once — not a confidence score. Because each model answered every question exactly once on 2026-07-06, the figures describe this specific drywall businesses question set and snapshot rather than a general prior. The full protocol and coding rubric are documented in the study methodology.

Methodology

A controlled snapshot, documented end to end.

40 standardized buyer questions per industry, one response per model per question (ChatGPT (gpt-5-mini), Claude (claude-sonnet-5), Gemini (gemini-3-flash-preview)), collected 2026-07-06, coded against a fixed 12-behavior rubric with human QA. AI outputs vary with model version, location and time — figures describe this sample and window, and are refreshed each edition. Read the full methodology →